The Teovate observability system for AI agents in production.
Agents are non-deterministic, chatty, and expensive. The Teovate observability system shows you what your agents actually did, whether their answers are still good, and what they are costing you, before your users notice.
Register for Early AccessEarly access places are limited, and registration is free.
The Capabilities
See every step an agent took, every tool it called, and every token it spent, then replay any run to understand exactly what happened.
LLM-as-judge monitors watch output quality on every release and every day, so drift is caught by a dashboard instead of a complaint.
Budgets per agent, per team, and per feature, with alerts that fire before the invoice becomes the incident.
One view of agent health across your organisation, with drift alerts that separate real degradation from normal noise.
Learn It First
The observability system is built on the same methods taught in the AI SRE masterclass. Teams that want to build the skills in-house run the masterclass; teams that want the capability now register for early access. Many do both.
Designed by an engineer with 25 years of production infrastructure behind him, from HPC clusters to air-gapped environments.
Dashboards and alerts designed for systems that never answer the same way twice, not ports and pings.
Every view maps to a concept from the masterclasses, so your team learns the discipline while using the tool.